Senior Data Engineer
About The Position
Position Status: This opportunity is for a secured role that is due to commence in February subject to approval. If you would like to be considered as we progress with this position, please click to apply. At Mace, our purpose is to redefine the boundaries of ambition. We believe in creating places that are responsible, bringing transformative impact to our people, communities and societies across the globe. To learn more about our purpose, culture, and priorities, visit our strategy site. Within our business we harness our unique combination of leading-edge practical expertise and project delivery to unlock the potential in every project. Our values shape the way we consult, and define the people we want to join us on our journey, they are: Safety First - Going Home Safe And Well Client Focus - Deliver On Our Promise Integrity - Always Do The Right Thing Create Opportunity - For Our People To Excel
Requirements
- Strong data engineering experience using Python and SQL, delivering production-grade pipelines and data products.
- Expertise in data modelling and pipeline design for Lakehouse/warehouse environments.
- Strong technical communication skills: able to clarify ambiguous requirements and translate them into actionable designs.
- Proven stakeholder engagement and the ability to drive complex cross-functional projects end-to-end.
- High attention to detail.
Responsibilities
- Designing and delivering scalable data products in the data Lakehouse, working alongside the data product owner and software engineering partners.
- Defining and aligning business definitions, KPIs, and metric logic across stakeholders.
- Building and optimizing reliable ELT/ETL pipelines for structured and unstructured data.
- Ingesting and modeling sensor and utilization data to generate data-driven insights and build reusable analytics assets that influence global design standards.
- Partnering with the BIM team to understand model data, and extract cost, design, sustainability, and quality assurance insights from models.
- Operationalizing pipelines to parse and transform BIM data and metadata for analytics.
- Delivering production-grade dashboards and models integrated with PMO workflows and controls.
- Help to design, build, and operationalize an ML model to predict project cost. Defining features, training and validation strategies, and MLOps processes (versioning, deployment, monitoring, model governance).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
